Senior DevOps Engineer in ML

Join Behavox as a Senior DevOps Engineer and advance your career in machine learning infrastructure. Your role focuses on scalable development within AWS and GCP environments to optimize ML models.
This position offers a unique greenfield opportunity to create high-impact infrastructure and tools in a collaborative team. You'll be involved in designing data frameworks, managing Kubernetes, and streamlining CI/CD processes. Your contributions will directly enhance the efficiency and success of machine learning initiatives across the organization.
Key Responsibilities:
• Manage complex distributed software systems
• Design and build scalable, secure infrastructure
• Automate software delivery using CI/CD pipelines
• Develop Python tools and services
• Improve overall cloud infrastructure reliability
Requirements:
• Strong expertise in Linux system administration
• Experience with cloud solutions in AWS and GCP
• Hands-on understanding of Kubernetes principles
• Proficiency in development scripting (Python, Bash)
• Passionate about Behavox’s mission and technology
Utilize your DevOps skills and passion for machine learning to shape the future of AI at Behavox.
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